Table 9

Robustness checks: gender quotas and glass cliff: fixed effects panel regression models (2SLS)

Model 1 Roe as endogenous variableModel 2 Roa as endogenous variableModel 3 Bad performance as
endogenous variable
VariablesFirst stage
Y = Roe
Second stage
Y = WoBs
First stage
Y = Roa
Second stage
Y = WoBs
First stage
Y = Bad performance
Second stage
Y = WoBs
Board size−0.01 (0.021)−0.01 (0.008)−0.001 (0.001)−0.02 (0.015)0.01 (0.016)−0.01 (0.008)
Firm size0.03 (0.046)0.10 (0.071)−0.003 (0.008)−0.003 (0.113)−0.132 (0.100)0.13** (0.062)
Law−0.01 (0.021)0.13*** (0.036)−0.00 (0.004)0.14** (0.073)0.02 (0.051)0.13*** (0.032)
Women executives 0.08* (0.048)0.26*** (0.082)0.01 (0.008)0.26** (0.142)−0.06 (0.113)0.18*** (0.066)
Roe −1.48*** (0.333)    
Bad performance     0.55*** (0.100)
Roa   −15.99** (6.862)  
Asset-to-equity ratio0.00*** (0.000) 0.00*** (0.000) −0.00*** (0.000) 
Sanderson-–Windmeijer F test of excluded instrumentsF (1,111) = 16.42;
Prob > F = 0.0001
 F (1,111) = 4.92;
Prob > F = 0.028
 F (1,111) = 30.58;
Prob > F = 0.000
 
Observations232232232232232232
F – test; Prob > F F (5, 111) = 17.18;
p = 0.000
 F (5, 111) = 26.12;
p = 0.000
 F (5, 111) = 55.33,
p = 0.000

Notes:

Robust standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1

Source: Authors’ own creation

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